Imaginary Avatar Generation Using Shape, State, And Emotion Mapping
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Solution Overview
Problem
Existing avatar generation technologies primarily focus on creating avatars that resemble real-world objects like humans or animals, lacking the ability to generate imaginary avatars with non-conventional objects and providing them with imaginative features.
Innovation Solution
A method and system for generating imaginary avatars involves determining object details, shape, state, and emotion to position and animate features like eyes, mouth, hands, and legs, using a combination of neural networks and image processing techniques to create animated avatars for non-human-like objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing avatar generation methods are used, then avatars can be created for human-like objects, but the scope is limited to animal creatures and cannot generate imaginary avatars for non-conventional objects
Solution Approach 1:
The patent applies universality by creating a generalized avatar generation system that works across multiple object types (humans, animals, plants, inanimate objects) using the same technical approach. The system extracts geometric features and applies imaginary features uniformly regardless of object category, making the avatar generation process multi-functional and broadly adaptable.
Solution Approach 2:
The patent uses parameter changes by transforming the object representation from real-world geometric parameters to imaginary avatar parameters. The system changes the state of features by applying imaginary characteristics (eyes, mouth, hands, legs) to objects that don't naturally possess them, thereby generating imaginary avatars from conventional objects through parameter transformation.
2Reliability
If real-world like appearance is prioritized, then avatars look realistic for human and animal objects, but imaginary features cannot be added to non-conventional objects
Solution Approach 1:
The patent applies dynamics by making the avatar generation process adaptive rather than static. The system dynamically adjusts between maintaining real-world appearance for human/animal objects and applying imaginary features to non-conventional objects based on object classification. This dynamic approach allows the same system to serve multiple purposes with different levels of realism.
Solution Approach 2:
The patent uses local quality by applying different processing approaches to different parts of the object based on its classification. For human and animal objects, the system maintains real-world feature accuracy, while for plants and inanimate objects, it applies imaginary features. This localized differentiation allows simultaneous preservation of realism where needed and imagination where appropriate.
3Device complexity
If avatar generation is limited to human-like objects, then the system remains simple, but the range of applicable objects is restricted
Solution Approach 1:
The patent applies segmentation by dividing the avatar generation process into distinct modular steps: object identification, geometric feature extraction, imaginary feature selection, and composition. This segmentation allows the system to handle diverse object types through a standardized workflow, increasing productivity without proportionally increasing overall system complexity.
Solution Approach 2:
The patent uses copying by creating template-based imaginary features (eyes, mouth, hands, legs) that can be replicated and applied to different object types. Instead of designing unique features for each object, the system copies and adapts standardized imaginary feature templates, thereby expanding avatar generation scope while maintaining system simplicity through reuse.
Data Source
AI summary
A method for generating an imaginary avatar of an object is disclosed. The method includes: determining at least one object detail from the object identified from an input content; determining a shape of the object based on the at least one object detail; determining a state of the object based on the input content and the at least one object detail; determining position of a plurality of physical features of the object based on the shape of the object; determining an emotion depicted by the object using the state of the object; and generating the imaginary avatar of the object based on the shape of the object, position of the plurality of physical features, and the determined emotion.